Poster groups

Poster group 1
Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference, Maëliss Jallais, Pedro Rodrigues, Alexandre Gramfort, Demian Wassermann
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping, Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub, Islem Rekik
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts, Qi Lu, Chuyang Ye
Future Frame Prediction for Robot-assisted Surgery, Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition, Matthias Perkonigg, Johannes Hofmanninger, Georg Langs
A 3D SegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation, Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou
Feature Library: A Benchmark for Cervical Lesion Segmentation, Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng
A Higher Order Manifold-valued Convolutional Neural Network with Applications in Diffusion MRI Processing, Jose Bouza, Chun-Hao Yang, David Vaillancourt, Baba C Vemuri
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation, Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation, Hong-Yu Zhou, Hualuo Liu, Shilei Cao, DONG WEI, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
A Multi-Scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize The Eloquent Cortex in Brain Tumor Patients, Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Sachin Gujar, Jay Pillai, Haris Sair, Archana Venkataraman
Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection, Haleh Akrami, Anand Joshi, Sergul Aydore, Richard Leahy
A Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations, Irene Balelli, Santiago Silva, Marco Lorenzi
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer, Fan Wang, Saarthak Kapse, Steven H. Liu, Prateek Prasanna, Chao Chen
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations, Mobarakol Islam, Ben Glocker
Blind stain separation using model-aware generative learning and its applications on uorescence microscopy images, Xingyu Li
Mixture modeling for identifying subtypes in disease course mapping, Pierre-Emmanuel Poulet, Stanley Durrleman
Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator, Zhongyi Han, Rundong He, Tianyang Li, Benzheng Wei, Jian Wang, Yilong Yin
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders, Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim
Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images, Daniel H. Pak, Minliang Liu, Shawn Ahn, Andres Caballero, John A Onofrey, Liang Liang, Wei Sun, James S Duncan
Poster group 2
Hypermorph: Amortized Hyperparameter Learning for Image Registration, Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John Guttag, Adrian V Dalca
Deep learning based geometric registration for medical images: How accurate can we get without visual features?, Lasse Hansen, Mattias Heinrich
Geodesic Tubes for Uncertainty Quantification in Diffusion MRI, Rick Sengers, Luc Florack, Andrea Fuster
Structural Connectome Atlas Construction in the Space of Riemannian Metrics, Kris Campbell, Haocheng Dai, Zhe Su, Martin Bauer, Tom Fletcher, Sarang Joshi
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis, Chun-Hao Yang, Baba Vemuri
Segmenting two-dimensional structures with strided tensor networks, Raghavendra Selvan, Erik B B Dam, Jens Petersen
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation, Sebastian G Popescu, David Sharp, James Cole, Konstantinos Kamnitsas, Ben Glocker
Discovering Spreading Pathways of Neuropathological Events in Alzheimer’s Disease Using Harmonic Wavelets, Jiazhou Chen, Defu Yang, Hongmin Cai, Martin Styner, Guorong Wu
Collaborative Multi-Agent Reinforcement Learning for Landmark Localization Using Continuous Action Space, Klemens Kasseroller, Christian Payer, Franz Thaler, Darko Stern
Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects using Very Few Expert Segmentations, Jiahong Ouyang, Ehsan Adeli,Kilian Pohl, Qingyu Zhao, Greg Zaharchuk
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays, Yirui Wang, Kang Zheng, CHI TUNG CHENG, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, ChienHung Liao, Shun Miao
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization, Lianrui Zuo, Blake E Dewey, Aaron Carass, Yihao Liu, Yufan He, Peter Calabresi, Jerry L Prince
Geodesic B-Score for Improved Assessment of Knee Osteoarthritis, Felix Ambellan, Stefan Zachow, Christoph von Tycowicz
Unsupervised Learning of Local Discriminative Representation for Medical Images, Huai Chen, Jieyu Li, Renzhen Wang, Yi-Jie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang*
Adversarial Regression Learning for Bone Age Estimation, Youshan Zhang, Brian D. Davison
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework, Munan Ning, Cheng Bian, DONG WEI, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng
Principled Ultrasound Data Augmentation for Classification of Standard Planes, Lok hin Lee, Yuan Gao, Alison Noble
Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces, Yubo Zhang, Shuxian Wang, Ruibin Ma, Sarah McGill, Julian Rosenman, Steve Pizer
Cortical Morphometry Analysis based on Worst Transportation Theory, Xianfeng GU, Yalin Wang, Dongsheng An, Min Zhang, Na Lei, Tong Zhao, Jianfeng Wu, Xiaoyin Xu
Poster group 3
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer’s Continuum, Sebastian Pölsterl, Christian Wachinger
Multiple-shooting adjoint method for whole-brain dynamic causal modeling, Juntang Zhuang, Nicha Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S Duncan
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models, Zixuan Liu, Ehsan Adeli, Kilian Pohl, Qingyu Zhao
Representation Disentanglement for Multi-modal Brain MR Analysis, Jiahong Ouyang, Ehsan Adeli, Kilian Pohl, Qingyu Zhao, Greg Zaharchuk
Variational Knowledge Distillation for Disease Classification in Chest X-Rays, Tom J van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao
Velocity-To-Pressure (V2P) – Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities, Suprosanna Shit, Dhritiman Das, Ivan Ezhov, Johannes C. Paetzold, Augusto F Fava Sanches, Nils Thuerey, Bjoern Menze
Partial Matching in the Space of Varifolds, Pierre-Louis A Antonsanti, Joan Glaunès, Thomas Benseghir, Vincent Jugnon, Irene Kaltenmark
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images, Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, LEI YANG, Min Zhu, Wenping Wang, Dinggang Shen
Learning transition times in event sequences: the temporal event-based model of disease progression, Peter A Wijeratne, Daniel Alexander
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline, Long Xie, Laura Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David Wolk, Paul Yushkevich
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training, Yunhe Gao, Zhiqiang Tang, Dimitris N. Metaxas, Mu Zhou
Multimodal Self-Supervised Learning for Medical Image Analysis, Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data, Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig
Learning image quality assessment by reinforcing task amenable data selection, Shaheer Ullah Saeed, Yunguan Fu, Zachary M C Baum, Qianye Yang, Mirabela Rusu, Richard Fan, Geoffrey A Sonn, Dean Barratt, Yipeng Hu
Diffeomorphic registration with density changes for the analysis of imbalanced shapes, Hsi-Wei Hsieh, Nicolas Charon
Is segmentation uncertainty useful?, Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
Teach me to segment with mixed-supervision: confident students become masters, Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions, Shuo Han, Samuel W Remedios, Aaron Carass, Michael Schär, Jerry L Prince
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography, Dewen Zeng, Mingqi Li, Yukun Ding, Xiaowei Xu, Qiu Xie, Ruixue Xu, Hongwen Fei, Meiping Huang, Jian Zhuang, Yiyu Shi
3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images, Junbo Ma, Oleh Krupa, Rose Glass, Carolyn McCormick, David Borland, Minjeong Kim, Jason Stein, Guorong Wu